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A novel differential multiuser detection algorithm for multiuser MIMO-OFDM systems |
Zheng-min Kong*,1,2, Guang-xi Zhu1,2, Qiao-ling Tong3, Yan-chun Li1,2 |
1 Department of Electronics and Information Engineering, Huazhong University of Science and Technology
2 Wuhan 430074, China, Wuhan National Lab for Optoelectronics, Huazhong University of Science and Technology, Wuhan 430074, China
3 Department of Electronic Science and Technology, Huazhong University of Science and Technology, Wuhan 430074, China
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Abstract We propose an efficient low bit error rate (BER) and low complexity multiple-input multiple-output (MIMO) multiuser detection (MUD) method for use with multiuser MIMO orthogonal frequency division multiplexing (OFDM) systems. It is a hybrid method combining a multiuser-interference-cancellation-based decision feedback equalizer using error feedback filter (MIMO MIC DFE-EFF) and a differential algorithm. The proposed method, termed ‘MIMO MIC DFE-EFF with a differential algorithm’ for short, has a multiuser feedback structure. We describe the schemes of MIMO MIC DFE-EFF and MIMO MIC DFE-EFF with a differential algorithm, and compare their minimum mean square error (MMSE) performance and computational complexity. Simulation results show that a significant performance gain can be achieved by employing the MIMO MIC DFE-EFF detection algorithm in the context of a multiuser MIMO-OFDM system over frequency selective Rayleigh channel. MIMO MIC DFE-EFF with the differential algorithm improves both computational efficiency and BER performance in a multistage structure relative to conventional DFE-EFF, though there is a small reduction in system performance compared with MIMO MIC DFE-EFF without the differential algorithm.
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Received: 01 December 2009
Published: 30 September 2010
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Fund: Project supported by the National Science and Technology Pillar Program (Nos. 2008BAH30B12 and 2008BAH30B09), the Important National Science and Technology Specific Projects (Nos. 2008ZX 03003-004, 2009ZX03003-008, 2009ZX03003-009, and 2009ZX
03002-009), the National Natural Science Foundation of China (No. 60802009), and the National High-Tech R & D Program (863) of
China (Nos. 2008AA01Z204 and 2009AA01Z205) |
A novel differential multiuser detection algorithm for multiuser MIMO-OFDM systems
We propose an efficient low bit error rate (BER) and low complexity multiple-input multiple-output (MIMO) multiuser detection (MUD) method for use with multiuser MIMO orthogonal frequency division multiplexing (OFDM) systems. It is a hybrid method combining a multiuser-interference-cancellation-based decision feedback equalizer using error feedback filter (MIMO MIC DFE-EFF) and a differential algorithm. The proposed method, termed ‘MIMO MIC DFE-EFF with a differential algorithm’ for short, has a multiuser feedback structure. We describe the schemes of MIMO MIC DFE-EFF and MIMO MIC DFE-EFF with a differential algorithm, and compare their minimum mean square error (MMSE) performance and computational complexity. Simulation results show that a significant performance gain can be achieved by employing the MIMO MIC DFE-EFF detection algorithm in the context of a multiuser MIMO-OFDM system over frequency selective Rayleigh channel. MIMO MIC DFE-EFF with the differential algorithm improves both computational efficiency and BER performance in a multistage structure relative to conventional DFE-EFF, though there is a small reduction in system performance compared with MIMO MIC DFE-EFF without the differential algorithm.
关键词:
Multiuser detection (MUD),
Orthogonal frequency division multiplexing (OFDM),
Multiple-input multiple-output (MIMO),
Decision feedback equalizer (DFE),
Error feedback filter (EFF),
Differential algorithm
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